Information retrieval based on single-pixel optical imaging with quick-response code

Yin Xiao, Wen Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Quick-response (QR) code technique is combined with ghost imaging (GI) to recover original information with high quality. An image is first transformed into a QR code. Then the QR code is treated as an input image in the input plane of a ghost imaging setup. After measurements, traditional correlation algorithm of ghost imaging is utilized to reconstruct an image (QR code form) with low quality. With this low-quality image as an initial guess, a Gerchberg-Saxton-like algorithm is used to improve its contrast, which is actually a post processing. Taking advantage of high error correction capability of QR code, original information can be recovered with high quality. Compared to the previous method, our method can obtain a high-quality image with comparatively fewer measurements, which means that the time-consuming postprocessing procedure can be avoided to some extent. In addition, for conventional ghost imaging, the larger the image size is, the more measurements are needed. However, for our method, images with different sizes can be converted into QR code with the same small size by using a QR generator. Hence, for the larger-size images, the time required to recover original information with high quality will be dramatically reduced. Our method makes it easy to recover a color image in a ghost imaging setup, because it is not necessary to divide the color image into three channels and respectively recover them.
Original languageEnglish
Title of host publicationNinth International Conference on Graphic and Image Processing, ICGIP 2017
EditorsHui Yu, Junyu Dong
ISBN (Electronic)9781510617414
Publication statusPublished - 1 Jan 2018
Event9th International Conference on Graphic and Image Processing, ICGIP 2017 - Qingdao, China
Duration: 14 Oct 201716 Oct 2017


Conference9th International Conference on Graphic and Image Processing, ICGIP 2017


  • Gerchberg-Saxton-like algorithm
  • ghost imaging
  • QR code

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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